cls

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am getting a string in the below format after reading data from a csv file v_lastline = '29218368,8062115," Benedict Canyon Equities, Inc",CLS,,FAX'; I just want to convert it into an array while will contain 6 values, the comma before the , Inc needs to be escaped. Can any one please suggest whats the best way to do it in PL/SQL? 回答1: This is similar to this question , but you have empty elements in your list; and a simple translation of one of the patterns I tried there skips those: var v_lastline varchar2(50); exec :v_lastline :=

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: How can I define a class with await in the constructor or class body? For example what I want: import asyncio # some code class Foo(object): async def __init__(self, settings): self.settings = settings self.pool = await create_pool(dsn) foo = Foo(settings) # it raises: # TypeError: __init__() should return None, not 'coroutine' or example with class body attribute: class Foo(object): self.pool = await create_pool(dsn) # Sure it raises syntax Error def __init__(self, settings): self.settings = settings foo = Foo(settings) My solution (But I

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: This is a question related to https://stats.stackexchange.com/questions/21572/how-to-plot-decision-boundary-of-a-k-nearest-neighbor-classifier-from-elements-o For completeness, here's the original example from that link: library(ElemStatLearn) require(class) x 0.5, "coral", "cornflowerblue")) box() I've been playing with that example, and would like to try to make it work with three classes. I can change some values of g with something like g[8:16] just to pretend that there are some samples which are from a third class. I can't make the

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have the code to make one marker start a activity when you click on the infowindow. It works absolutely fine. But when I try to add in another marker and another @override it always opens the last class on all of the Markers infowindows. So in essence all of the markers infowindows open the same activity when clicked instead of opening the separate class that I intended it to. This is the code below that successfully opens 1 activity on InfoWindowClicked. I have called it example.class, this is for everyone that needs this example . public

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: My input was a csv file which was imported to postgresqldb .Later i am building a cnn using keras.My code below gives the following error "IndexError: too many indices for array". I am quite new to machine learning so I do not have any idea about how to solve this. Any suggestions? X = dataframe1[['Feature1','Feature2','Feature3','Feature4','Feature5','Feature6','Feature7','Feature8','Feature9','Feature10','Feature11\1','Feature12','Feature13','Feature14']] Y=result[['label']] # evaluate model with standardized dataset results = cross_val

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Say there is: class A(B): ... where B could be object and ... is not : @classmethod # or @staticmethod def c(cls): print 'Hello from c!' What do I have to do that calling A.c() wont trigger AttributeError ? In other words, I know it is possible to manually add class methods to a class at runtime. But is it possible to do so automatically, say every time a class method is missing it creates some dummy method? In yet another words, only if I could replace A.__dict__ with my dict which handles __getitem__ - but A.__dict__ seems to be not

todo /* SPDX-License-Identifier: BSD-3-Clause * Copyright(c) 2017 Intel Corporation */ #include <stdint.h> #include <inttypes.h> #include <getopt.h> #include <rte_eal.h> #include <rte_ethdev.h> #include <rte_cycles.h> #include <rte_lcore.h> #include <rte_mbuf.h> #include <rte_flow.h> #include <rte_flow_classify.h> #include <rte_table_acl.h> #define RX_RING_SIZE 1024 #define TX_RING_SIZE 1024 #define NUM_MBUFS 8191 #define MBUF_CACHE_SIZE 250 #define BURST_SIZE 32 #define MAX_NUM_CLASSIFY 30 #define FLOW_CLASSIFY_MAX_RULE_NUM 91 #define FLOW_CLASSIFY_MAX_PRIORITY 8 #define FLOW_CLASSIFIER_NAME

kaiming ross他们一块的又一篇文章，基于mask rcnn的做的一个扩展，他们真是一直在推进着Detection Segmentation领域的发展 Introduction 目前做instance segmentation的方法都需要像素级标注，这样的话就很难有一个类别数目庞大的库做支撑，因为像素级标注太费人力物力财力了，已有的coco也只有80类，pascal voc只有20类，而box的标注相对比较简单， visual gnome 有超过7000类的box标注(本文挑选最常用的3000类)，那么本文就在想能不能利用coco 80类的像素级标注和vg 3000类的box标注来训练一个模型可以进行3000类的instance segmentation呢？本文提出了一个 weight transfer function 根据box detection branch的参数来预测mask branch的参数 Framework 在NLP领域中，经常用到的word embedding，就是语义相近的词通过embed后在另一个空间里距离很近，语义不同的词通过embed后在另一个空间里距离很远。在CV领域，我们最后一个fc对物体分类时，比如vgg最后一个fc的参数是4096x #classes，每个类别对应的参数是4096，这个4096维参数可以看做是对该类别的embeding

py-fater-rcnn根据生成的log文件绘制loss图。 一般输出是下图中的第一幅图（对应位置为2,5,1），但本身并没有多大的意义，只有将其平均之后如(对应位置为2,5,6)，才能看出loss是否还在下降。 # -*- coding: utf-8 -*- """ Created on Wed Jun 13 09:58:00 2018 @author: ygx """ # -*- coding:utf-8 -*- # !/usr/bin/env python import matplotlib.pyplot as plt f1=open('faster_rcnn_end2end_VGGcp_.txt.2018-06-12_17-51-16','r') lines=f1.readlines() i=0 Iteration=[] loss=[] loss_bbox=[] loss_cls=[] rpn_cls_loss=[] rpn_loss_bbox=[] for line in lines: if line.find('solver.cpp:229] Iteration')>0: Iteration.append(int(line.split('Iteration ')[1].split()[0].split(',')[0])) loss.append(float(line

应用： Django中间件，rest framework 组件的全局配置文件 import importlib path = "abc.def.foo" module_path , class_name = path . rsplit ( '.' , maxsplit = 1 ) # 根据字符串的形式导入模块 m = importlib . import_module ( module_path ) cls = getattr ( m , class_name ) # foo() obj = cls () obj . process_request () 　　　 来源：博客园 作者： 市丸银 链接：https://www.cnblogs.com/wt7018/p/11553354.html